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Field
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engineering, electronics or related fields) You have an aerospace background, have already worked in the sector and familiar with space systems design and validation You have an affinity with hardware
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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experience with design and manufacturing; research experience in ergonomics; hands on experience with robotic hardware and tool usage in a field environment; proficient in design software using solidworks, 3-D
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include an exciting work in terms of hardware/software use and upgrade of additive manufacturing machines to achieve optimal processing, which could be especially empowered by monitoring and computer
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analysis for late-stage process chemistry The successful candidate will have the opportunity to design and build next-generation hardware modules that push the boundaries of automated chemistry. You will
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real-time control algorithms, and validate performance across diverse scenarios
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. On the EIC side, the successuful candidate will participate in the detector effort around the Roman pots. IJCLab is involved at various levels in the project, in design, cooling, and electronics testing
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. Designing and implementing sector coupling solutions by integrating electricity, heating, cooling, and potentially transport systems to enhance overall system efficiency. Modelling heat symbiosis and multi
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hardware architects to establish how agentic AI and these languages co‑design with heterogeneous HPC systems (CPUs, GPUs, PIM, AI accelerators). Study performance and portability tradeoffs, leveraging